摘要
提出了航空发动机砂尘吸入物静电监测的仿真实验方法,实验以软件ANSYS电磁场分析模块建立有限元模型为基础,模拟不同粒径、荷质比、运动速度及质量浓度情况下砂尘吸入物的静电感应信号,并分别从时域与频域对感应电荷与电压信号进行分析,研究砂尘吸入物的粒径及其他宏观参数与静电监测信号之间的关系,建立用以表征砂尘颗粒粒径大小的特征指标。基于IDMS(进气监测系统)感应电压信号功率谱密度分布建立了特征向量,并以其曼哈顿距离与欧氏距离作为特征指标表征砂尘颗粒粒径大小。经仿真实验验证:特征指标与砂尘粒径呈正相关,且不受砂尘吸入物运动速度及荷质比变化的影响,但受砂尘吸入物质量浓度影响。进一步研究将利用质量浓度对特征指标进行修正,并开展验证实验。
A simulation experiment method for electrostatic monitoring of aero engine dust ingestion was proposed.Based on ANSYS electromagnetic field analysis module,a finite element model was established,the electrostatic induction signals of sand dust ingestion under different particle sizes,charge-mass ratios,moving speeds and mass concentrations were simulated experimentally,and the induced charge and voltage signals were analyzed from the time domain and frequency domain,respectively.The relationship between particle size and other macroscopic parameters of sand ingestion and electrostatic monitoring signals was studied to establish a characteristic index used to characterize the particle size of sand dust particles.The eigenvectors were established based on the power spectral density distri-butions of the IDMS(ingested debris monitoring system)induced voltage signals.The Manhattan distance and the Euclidean distance were used as characteristic indicators to characterize the sand particle size.Simulation results showed that the characteristic index was positively correlated with sand dust particle size,and it was not affected by the movement velocity and charge-mass ratio of sand ingestion,but affected by the sand dust ingestion mass concentration.Further studies will use quality concentration to correct the characteristics of the indicators and carry out verification experiments.
作者
孙见忠
姜衡
陈颖达
SUN Jianzhong;JIANG Heng;CHEN Yingda(Civil Aviation Key Laboratory of Aircraft Health Monitoring and Intelligent Maintenance,College of Civil Aviation,Nanjing University of Aeronautics and Astronautics, Nanjing 211106,China;College of Civil Aviation,Nanjing University of Aeronautics and Astronautics,Nanjing 21110 6,China;College of Energy and Power Engineering, Nanjing University of Aeronautics and Astronautics,Nanjing 210016,China)
出处
《航空动力学报》
EI
CAS
CSCD
北大核心
2018年第12期2913-2923,共11页
Journal of Aerospace Power
关键词
航空发动机
砂尘环境
颗粒粒径
静电监测
有限元分析
时频域分析
aero engine
sand dust environment
particle diameter
electrostatic monitoring
finite element analysis
time domain analysis and frequency domain analysis
